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Gemma-3-12B
31-GEMMASCOPE-2-RES-16K
5173
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MODEL
31-gemmascope-2-res-16k
Source/SAE
INDEX
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Explanations
The neuron fires on tokens that are part of multiword proper‐noun or compound names (e.g. “pop-up,” “Comfort Class,” “exhaust pipe,” “Hong Kong,” “Charlotte Web,” etc.).
oai_token-act-pair · o4-mini
Triggered by @jyhe0408
No Scores
New Auto-Interp
AutoInterp Type
claude-haiku-5-5
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Configuration
google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
How To Load
Prompts (Dashboard)
392,802 prompts, 256 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
No Configuration Found
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<iframe src="https://www.neuronpedia.org/gemma-3-12b/31-gemmascope-2-res-16k/5173?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-3-12b/31-gemmascope-2-res-16k/5173?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
并在
0.81
并将
0.79
并通过
0.79
并
0.79
ใน
0.75
在他
0.71
幷
0.66
在我
0.65
ในการ
0.65
並
0.65
POSITIVE LOGITS
there
2.03
there
1.60
هناك
1.51
they
1.41
terdapat
1.40
we
1.38
वहाँ
1.31
они
1.27
वहां
1.27
theres
1.23
Act
ivations
Density 0.302%
Test
Stacked
Snippet
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